Classification performance of thresholding methods in the Mahalanobis–Taguchi system
The Mahalanobis–Taguchi System (MTS) is a pattern recognition tool employing Maha-lanobis Distance (MD) and Taguchi Robust Engineering philosophy to explore and exploit data in multidimensional systems. The MD metric provides a measurement scale to classify classes of samples (Abnormal vs. Normal) a...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95196/ http://dx.doi.org/10.3390/app1109390 |
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